CAJ | 학술논문

针对复杂环境下单(双)机 TF/TA2飞行路径规划问题，提出了满足飞机可飞性和可操作性的人工免疫算法飞行航线规划方法；设计了综合3D 威胁信息的惩罚函数(亲和力函数)；构建了包含动态、静态威胁及不可飞区域的综合威胁模型。据此，设计了不同威胁度环境下的单、双飞行航线，并将人工免疫算法规划的航线与遗传算法进行比较。结果表明，在简单威胁环境下，遗传算法规划时间短、路径较长；在复杂环境下，遗传算法的单机规划失败率极高(大于95％)，双机规划失败。人工免疫算法能够为单(双)机规划出一条最优及多条待选飞行航线。
침대복잡배경하단(쌍)궤 TF/TA2비행로경규화문제，제출료만족비궤가비성화가조작성적인공면역산법비행항선규화방법；설계료종합3D 위협신식적징벌함수(친화력함수)；구건료포함동태、정태위협급불가비구역적종합위협모형。거차，설계료불동위협도배경하적단、쌍비행항선，병장인공면역산법규화적항선여유전산법진행비교。결과표명，재간단위협배경하，유전산법규화시간단、로경교장；재복잡배경하，유전산법적단궤규화실패솔겁고(대우95％)，쌍궤규화실패。인공면역산법능구위단(쌍)궤규화출일조최우급다조대선비행항선。
Flight path planning by artificial immune algorithm approach met the requirements of aircraft’s flyability and operation is proposed for the problem of single and double TF/TA2 flight path planning. Punishment function (affinity function)with comprehensive 3D threat information is designed.A comprehen‐sive threat model is formed including dynamic and static threats and no‐fly‐zone.Accordingly,single and dual flight paths are planned by AIA,which have been compared with the paths by GA.The results show that,GA’s planned a quick and longer path compared under simple threat environment;in complex environments,GA has high failure rate (greater than 95%)for single aircraft,but it is failed for double aircrafts.For the single and double aircrafts,AIA can provides one optimal and more candidate optimal fl ight paths.